👋🏻 Welcome to Kangying’s personal website!

I’m currently an engineer at SB Intuitions (Technology Division), exploring innovative technology solutions. My journey has taken me from academia, where I earned my doctoral degree and pursued postdoctoral research in Information Science at Ritsumeikan University, focusing on OCR, IR, multimodal representation learning and digital cultural heritage, to industry, where I enjoy applying my expertise to real-world projects.

This website shares my personal interests and projects beyond my professional responsibilities. I have a strong passion for Agentic Graph Intelligence and developing SLM-powered Edge Devices aimed at supporting education and mental health. If you’re interested in exploring these topics, feel free to check out my posts.

Outside of my work at SB Intuitions, I am passionate about programming, visualizations with D3.js, TinyML, and integrating innovative technologies with IoT devices. Occasionally, I share publications from my student days, which might be an entertaining read during sleepless nights or moments of boredom.

You can also connect with me on LinkedIn. And please don’t ask why there’s no photo—I gained 30kg two years ago due to anxiety treatment. I promise I’ll add a photo after my successful weight loss journey:)!

Thanks for visiting, and I hope you enjoy exploring!

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👋🏻 Kangyingの個人ウェブサイトへようこそ！

現在、SB Intuitions（技術本部）でエンジニアとして働いており、革新的なテクノロジーソリューションの商用開発に取り組んでいます。立命館大学で情報科学の博士号を取得し、OCR、情報検索、マルチモーダル表現学習やデジタル文化遺産に関する博士研究と日本学術振興会特別研究員DC2を経て、アカデミアから産業界へと活動の場を移しました。

このウェブサイトでは、仕事以外の個人的な興味やプロジェクトを共有しています。特に、Agentic Graph Intelligenceや教育とメンタルヘルス支援を目的としたSLM搭載のエッジデバイス開発に強い関心を持っています。興味がある方はぜひ投稿をご覧ください。

SB Intuitionsでの仕事以外にも、プログラミング、D3.jsを使ったビジュアライゼーション、TinyML、IoTデバイスと革新的な技術の統合に情熱を注いでいます。時々、学生時代の研究論文や面白くないIdeaも公開していますので、眠れない夜や退屈な時間の暇つぶしにお読みいただけるかもしれません。

LinkedInでもお気軽に繋がってください。また、写真がない理由は聞かないでくださいね(笑)。2年前、不安障害の治療で30kg増えてしまいました。ダイエット成功後に写真を追加することを約束しますw！

ご訪問いただきありがとうございます。どうぞ楽しんでください！

Education

• Doctoral Dissertation: Studies on Representation Learning for Retrieval of Digital Cultural Heritage Archives
• Doctoral Degree: Information Science and Engineering, Ritsumeikan University (2019-2022)
• Master’s Degree: Information Science and Engineering, Ritsumeikan University (2017-2019)
  • Gained in-depth knowledge of data science, algorithms, and systems engineering through coursework and research projects

Professional Experience

• Previous Position: Associate Machine Learning Engineer at Recursive Inc. (株式会社Recursive)
  • I am deeply grateful to Recursive Inc. for teaching me so much when I had no prior industrial development experience. The company provided me with an invaluable opportunity to learn and grow in AI and software engineering.
• Postdoctoral Fellowship, “学振-DC2”Japan Society for the Promotion of Science (JSPS DC2)
  • Research topic: Construction of a Ukiyo-e Searc System Using Multimodal Representation Learning
  • Published two first-author journal papers, assisted graduate students in the publication of two second-author academic papers, and independently developed two demo systems.
  • KAKENHI:Project URL

Certifications

• AWS Certified Solutions Architect – Associate

  • Issued: December 2024
  • Expires: December 2027
  • Credential ID: 86838b70e4694f73bbfc0cd4c81130c1
  • Issuing Organization: Amazon Web Services (AWS)

• Neo4j Certified Professional

  • Issued: July 2024
  • Credential ID: a7749649-9286-4df5-bc85-64f3befe7e3a
  • Issuing Organization: Neo4j

• IBM Applied DevOps Engineering Specialization

  • Issued: February 2024
  • Credential ID: 65RX39N4YU2W
  • Issuing Organization: IBM (Coursera)

• IBM DevOps and Software Engineering

  • Issued: February 2024
  • Credential ID: XXURJYTR8UR7
  • Issuing Organization: IBM (Coursera)

• DevOps, Cloud, and Agile Foundations Specialization

  • Issued: December 2023
  • Credential ID: 9EMBY3HM3JZK
  • Issuing Organization: IBM (Coursera)

• Google Project Management: Specialization

  • Issued: December 2023
  • Credential ID: BVNL3FP7BRCR
  • Issuing Organization: Google (Coursera)
  • Skills: Project Management

• Meta Back-End Developer by Meta

  • Issued: December 2023
  • Credential ID: H7TRN2DQKXHG
  • Issuing Organization: Meta (Coursera)

Technical Skills

• Independently deploy ML model APIs with authentication functionality
• Experience with AWS services to build simple applications
• Self-taught in HTML/CSS/JS, capable of designing simple websites with tool assistance
• Proficient in using D3.js and similar tools to create client-expected visualizations
• Interest in TinyML and integrating Multi-Agents + GraphRAG + Local LLM with IoT devices
• Basic understanding of MicroPython

Research Interests

Kangying Li’s research spans several interconnected fields:

• Natural Language Processing
• Digital Humanities
• Character Recognition and Typeface Analysis
• Digital Archives and Cultural Heritage Preservation
• Ukiyo-e Print Retrieval and Analysis
• Ancient Character Typeface Analysis
• AI Assistants and RAG (Retrieval-Augmented Generation)
• Multimodal Representation Learning

Languages

• Japanese: N1, Fluent for life-work-related conversations
• English: Proficient for work-related communication
• Mandarin: Native speaker, proficient in reading both Traditional and Simplified Chinese

Affiliations

• Ritsumeikan University (Past)
• Recursive Inc. (Past)
• SB Intuitions corp./SoftBank Group (Current)

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Last updated: March 2025